DevOps Engineer

June 18

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Logo of Swish Analytics

Swish Analytics

Sports Analytics • sports betting • gambling

11 - 50 employees

🎲 Gambling

🎮 Gaming

⚽ Sports

💰 $6.9M Series B on 2019-05

Description

• Develop and maintain Kubernetes clusters for heavy/spiky ML workloads • Work closely with Data Science and Data Engineering teams • Help develop specialized infrastructure • Enforce best practices for software deployment and code management • Monitor system and respond to incidents • Provide on-call work as needed

Requirements

• 4+ years of DevOps or DevSecOps experience • 4+ years building within AWS • 4+ years building CICD pipelines • 4+ years working with Kubernetes, Docker, Helm • 2+ years of Python or Go experience • Deep understanding of distributed systems • Previous SRE or DevOps experience in customer-facing systems • Experience with machine learning pipelines

Benefits

• 100% remote work • Challenging and unique work environment • Opportunity to work with sports analytics, betting, and fantasy

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